首页> 外文期刊>Journal of Quantitative Spectroscopy & Radiative Transfer >Optimization of measurement angles for soot aggregate sizing by elastic light scattering, through design-of-experiment theory
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Optimization of measurement angles for soot aggregate sizing by elastic light scattering, through design-of-experiment theory

机译:通过实验设计理论,通过弹性光散射优化烟so骨料尺寸的测量角度

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摘要

In multiangle elastic light scattering (MAELS) experiments, the morphology of aerosolized particles is inferred by shining collimated radiation through the aerosol and then measuring the scattered light intensity over a set of angles. In the case of soot-laden-aerosols MAELS can, in principle, be used to recover the size distribution of soot aggregates, although this involves solving an ill-posed inverse problem. This paper presents a design-of-experiment methodology for identifying the set of angles that maximizes the information content of the angular scattering measurements, thereby minimizing the ill-posedness of the underlying inverse problem. While the optimized angles highlight the physical significance of the scattering regimes, they do not improve the accuracy of size distributions reconstructed from simulated experimental data.
机译:在多角度弹性光散射(MAELS)实验中,雾化颗粒的形态是通过将准直辐射穿过气雾照射然后在一定角度上测量散射光强度来推断的。对于载有烟灰的气溶胶,MAELS原则上可用于恢复烟灰聚集体的尺寸分布,尽管这涉及解决不适定的逆问题。本文提出了一种实验设计方法,用于识别角度集,该角度集可使角散射测量的信息内容最大化,从而将潜在的反问题的不适定性降至最低。尽管优化的角度突出了散射方案的物理意义,但它们并不能提高从模拟实验数据重建的尺寸分布的准确性。

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